Data Access Matrix for Real-Time Healthcare Database Updates
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Solution Overview
Problem
Current distributed healthcare database systems fail to enable real-time updating of electronic medical records across disparate healthcare computer systems, do not support real-time updates using remote patient monitoring equipment, and lack integration with patient history information for automated interventions and decision-making.
Innovation Solution
A distributed healthcare database system utilizing a data access matrix (DAM) that coordinates database updates between data request and service user servers, allowing granular access to individual data items and enabling real-time data transfer across incompatible systems, with data mapping and healthcare activity processes to trigger interventions based on patient medical readings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If batch translation and update procedures are used to transfer information between disparate healthcare systems, then system compatibility is improved, but real-time updating capability deteriorates
Solution Approach 1:
The patent introduces a data access matrix (DAM) as an intermediary layer between disparate healthcare systems. The DAM coordinates database updates across multiple systems by managing access control lists (ACLs) and translation rules, enabling real-time updates while maintaining compatibility with incompatible systems through standardized translation protocols.
Solution Approach 2:
The system dynamically adjusts data access permissions and translation parameters based on real-time requests. The DAM modifies ACLs and translation rules on-the-fly to accommodate different database structures while enabling synchronous updates, transforming the static batch processing model into a dynamic real-time system.
2Reliability
If granular access control is implemented for individual data items, then data security is improved, but system complexity increases
Solution Approach 1:
The patent segments data access control into fine-grained permissions at the data item level within the DAM structure. Each data element has its own ACL that can be independently managed, allowing precise security control while the modular DAM architecture distributes the complexity across manageable components rather than creating a monolithic complex system.
3Stability of the object's composition
If centralized data coordination is implemented across distributed healthcare systems, then data consistency is improved, but system scalability deteriorates
Solution Approach 1:
The patent adds a coordination dimension through the DAM layer that operates independently across distributed systems. Rather than requiring centralized control of all data, the DAM provides a virtual coordination layer that manages consistency through ACLs and translation rules without creating a single point of control, thereby maintaining scalability while achieving data consistency.
Data Source
AI summary
A system and method distributing healthcare database access is disclosed. The system and method interpose a data mapping server (DMS) between a data request user server (DRS) and data service user server (DSS) to manage data transfers between the DSS and the DRS such that disparate database characteristics of the DRS/DSS are accommodated in real-time and permit asynchronous healthcare activity to be triggered. The DMS operates with a data access matrix (DAM) having each referenced DRS/DSS intersection pair associated with read/write control processes (RWP) that include read data (RDD) and write data (WRD) processes to permit data access across the disparate DRS/DSS database boundaries. The DAM may have multiple dimensions to accommodate asynchronously activated process threads within an overall patient healthcare plan (PHP) that operate to trigger healthcare provider alarms and other activity associated with the transfer/update of data between the DSS and the DRS.